{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 案例：信用卡交易欺诈数据预测"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1 背景\n",
    "#### 有一批交易数据，数据总量达到28万多条。其中，正常交易数据量占比99.83%，欺诈交易数据量仅占比0.17%，此案例属于一个典型的不平衡数据案例。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2 目标\n",
    "#### 训练出一个模型，能够判断出欺诈交易数据。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 方案二：\n",
    "#### 采用SMOTE 技术来处理数据不平衡问题，SMOTE (Synthetic Minority Over-sampling Technique)，即：合成少数样本过采样技术\n",
    "#### (1) 从少数类样本中，随机选择一个样本A；\n",
    "#### (2) 确定k值（通常是k=5），找到该样本A最近的k个样本；\n",
    "#### (3) 从该k个近邻样本中随机选择一个样本B；\n",
    "#### (4) 生成的新样本为：样本A与样本B中间的一个随机点。\n",
    "\n",
    "<<< 参考论文： SMOTE: Synthetic Minority Over-sampling Technique >>>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "import time\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 加载数据文件\n",
    "df = pd.read_csv(\"creditcard.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(284807, 31)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 数据表中的大多数列的数据已经归一化，接下来对Amount进行归一化\n",
    "from sklearn.preprocessing import StandardScaler\n",
    "\n",
    "df['scaled_amount'] = StandardScaler().fit_transform(df['Amount'].values.reshape(-1,1)) # 金额归一化\n",
    "df['scaled_time'] = StandardScaler().fit_transform(df['Time'].values.reshape(-1,1)) # 时间归一化\n",
    "\n",
    "df.drop(['Amount', 'Time'], axis=1, inplace=True) # 删除原始的数据列"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "正常交易数据： 284315\n",
      "欺诈交易数据： 492\n"
     ]
    }
   ],
   "source": [
    "print(\"正常交易数据：\", df.loc[df['Class']==0].shape[0])\n",
    "print(\"欺诈交易数据：\", df.loc[df['Class']==1].shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X shape :  (284807, 30)\n",
      "y shape :  (284807,)\n"
     ]
    }
   ],
   "source": [
    "X = df.drop('Class', axis=1) # 数据集\n",
    "y = df['Class'] # 标签\n",
    "\n",
    "print(\"X shape : \", X.shape)\n",
    "print(\"y shape : \", y.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### # 方法1：利用SMOTE解决数据不平衡"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "from imblearn.over_sampling import SMOTE\n",
    "\n",
    "X_new_1, y_new_1 = SMOTE().fit_resample(X, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    284315\n",
       "0    284315\n",
       "Name: Class, dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 新的类分布\n",
    "y_new_1.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(568630, 30)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_new_1.shape # 数据集已经扩充"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 方法2：利用SMOTE+undersampling解决数据不平衡"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "from imblearn.over_sampling import SMOTE\n",
    "from imblearn.under_sampling import RandomUnderSampler\n",
    "from imblearn.pipeline import Pipeline\n",
    "\n",
    "# over\n",
    "over = SMOTE(sampling_strategy=0.1)\n",
    "\n",
    "# under\n",
    "under = RandomUnderSampler(sampling_strategy=0.5)\n",
    "\n",
    "# pipeline\n",
    "steps = [('o', over),('u', under)]\n",
    "\n",
    "pipeline = Pipeline(steps=steps)\n",
    "\n",
    "X_new_2, y_new_2 = pipeline.fit_resample(X, y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    56862\n",
       "1    28431\n",
       "Name: Class, dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 新的类分布\n",
    "y_new_2.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(85293, 30)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_new_2.shape # 新的数据集"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 数据集分离：train  和 test"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 方法1的数据集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "X_new_1_train, X_new_1_test, y_new_1_train, y_new_1_test = train_test_split(X_new_1, y_new_1)\n",
    "\n",
    "# 数据集\n",
    "X_new_1_train = X_new_1_train.values\n",
    "X_new_1_test = X_new_1_test.values\n",
    "\n",
    "# 标签\n",
    "y_new_1_train = y_new_1_train.values\n",
    "y_new_1_test = y_new_1_test.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(426472, 30)"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_new_1_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(142158, 30)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_new_1_test.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 方法2的数据集"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_new_2_train, X_new_2_test, y_new_2_train, y_new_2_test = train_test_split(X_new_2, y_new_2)\n",
    "\n",
    "# 数据集\n",
    "X_new_2_train = X_new_2_train.values\n",
    "X_new_2_test = X_new_2_test.values\n",
    "\n",
    "# 标签\n",
    "y_new_2_train = y_new_2_train.values\n",
    "y_new_2_test = y_new_2_test.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(63969, 30)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_new_2_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(21324, 30)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_new_2_test.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 模型训练"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 简单分类器实现\n",
    "from sklearn.linear_model import LogisticRegression # 逻辑回归\n",
    "from sklearn.linear_model import SGDClassifier      # 随机梯度\n",
    "from sklearn.neighbors import KNeighborsClassifier  # K近邻\n",
    "from sklearn.svm import SVC                         # 支撑向量机\n",
    "from sklearn.tree import DecisionTreeClassifier     # 决策树\n",
    "from sklearn.ensemble import RandomForestClassifier # 随机森林\n",
    "from sklearn.model_selection import cross_val_score # 交叉验证计算accuracy\n",
    "from sklearn.model_selection import GridSearchCV    # 网格搜索，获取最优参数\n",
    "from sklearn.model_selection import StratifiedKFold # 交叉验证\n",
    "from collections import Counter\n",
    "# 评估指标\n",
    "from sklearn.metrics import confusion_matrix, precision_score, recall_score, f1_score, roc_auc_score, accuracy_score, classification_report\n",
    "\n",
    "from sklearn.ensemble import BaggingClassifier, GradientBoostingClassifier # 集成学习\n",
    "from xgboost import XGBClassifier                   # 极限梯度提升树\n",
    "\n",
    "classifiers = {\n",
    "    'LogisticRegression':LogisticRegression(), # 逻辑回归\n",
    "    \"SVC\":SVC(),                               # 支撑向量机\n",
    "    \"KNN\":KNeighborsClassifier(),              # K近邻\n",
    "    'DT':DecisionTreeClassifier(),             # 决策树\n",
    "    'RFC':RandomForestClassifier(),            # 随机森林\n",
    "    'Bagging':BaggingClassifier(),             # 集成学习bagging\n",
    "    'SGD':SGDClassifier(),                     # 随机梯度\n",
    "    'GBC':GradientBoostingClassifier(),        # 集成学习Gradient\n",
    "    'xgb':XGBClassifier()                      # 极限梯度提升树\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "def accuracy_score(X_train, y_train):\n",
    "    for key, classifier in classifiers.items(): # 遍历每一个分类器，分别训练、计算得分\n",
    "        classifier.fit(X_train, y_train)\n",
    "        training_score = cross_val_score(classifier, X_train, y_train, cv=5) # 5折交叉验证\n",
    "        print(\"Classifier Name : \", classifier.__class__.__name__,\"  Training Score ：\", round(training_score.mean(), 2)*100,'%')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 1 最简单的交叉验证"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 方法1：训练交叉验证的结果"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Classifier Name :  LogisticRegression   Training Score ： 95.0 %\n",
      "Classifier Name :  SVC   Training Score ： 98.0 %\n",
      "Classifier Name :  KNeighborsClassifier   Training Score ： 100.0 %\n",
      "Classifier Name :  DecisionTreeClassifier   Training Score ： 100.0 %\n",
      "Classifier Name :  RandomForestClassifier   Training Score ： 100.0 %\n",
      "Classifier Name :  BaggingClassifier   Training Score ： 100.0 %\n",
      "Classifier Name :  SGDClassifier   Training Score ： 95.0 %\n",
      "Classifier Name :  GradientBoostingClassifier   Training Score ： 98.0 %\n",
      "Classifier Name :  XGBClassifier   Training Score ： 100.0 %\n"
     ]
    }
   ],
   "source": [
    "# 1.1 SMOTE\n",
    "accuracy_score(X_new_1_train, y_new_1_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### 方法2：训练交叉验证的结果"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Classifier Name :  LogisticRegression   Training Score ： 96.0 %\n",
      "Classifier Name :  SVC   Training Score ： 97.0 %\n",
      "Classifier Name :  KNeighborsClassifier   Training Score ： 100.0 %\n",
      "Classifier Name :  DecisionTreeClassifier   Training Score ： 99.0 %\n",
      "Classifier Name :  RandomForestClassifier   Training Score ： 100.0 %\n",
      "Classifier Name :  BaggingClassifier   Training Score ： 99.0 %\n",
      "Classifier Name :  SGDClassifier   Training Score ： 96.0 %\n",
      "Classifier Name :  GradientBoostingClassifier   Training Score ： 98.0 %\n",
      "Classifier Name :  XGBClassifier   Training Score ： 100.0 %\n"
     ]
    }
   ],
   "source": [
    "# 1.2 SMOTE + under sampling\n",
    "accuracy_score(X_new_2_train, y_new_2_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2 网格搜索：获取最优超参数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 网格搜索：获取最优超参数\n",
    "# 1 LR\n",
    "def LR_gs(X_train, y_train):\n",
    "    # LR\n",
    "    LR_param = {\n",
    "        'penalty':['l1', 'l2'],\n",
    "        'C':[0.001, 0.01, 0.1, 1, 10]\n",
    "    }\n",
    "\n",
    "    LR_gs = GridSearchCV(LogisticRegression(),param_grid=LR_param, n_jobs=-1, scoring='accuracy')\n",
    "    LR_gs.fit(X_train, y_train)\n",
    "\n",
    "    LR_estimators = LR_gs.best_estimator_ # 最优参数\n",
    "    \n",
    "    return LR_estimators"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 2 KNN\n",
    "def KNN_gs(X_train, y_train):\n",
    "    KNN_param = {\n",
    "        'n_neighbors':list(range(2, 5, 1)),\n",
    "        'algorithm':['auto','ball_tree','kd_tree','brute']\n",
    "    }\n",
    "\n",
    "    KNN_gs = GridSearchCV(KNeighborsClassifier(), param_grid=KNN_param, n_jobs=-1, scoring='accuracy')\n",
    "    KNN_gs.fit(X_train, y_train)\n",
    "\n",
    "    KNN_estimators = KNN_gs.best_estimator_ # 最优参数\n",
    "    \n",
    "    return KNN_estimators"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 3 SVC\n",
    "def SVC_gs(X_train, y_train):\n",
    "    SVC_param = {\n",
    "        'C':[0.5, 0.7, 0.9, 1],\n",
    "        'kernel':['rfb', 'poly', 'sigmod', 'linear']\n",
    "    }\n",
    "\n",
    "    SVC_gs = GridSearchCV(SVC(), param_grid=SVC_param, n_jobs=-1, scoring='accuracy')\n",
    "    SVC_gs.fit(X_train, y_train)\n",
    "\n",
    "    SVC_estimators = SVC_gs.best_estimator_ # 最优参数\n",
    "    \n",
    "    return SVC_estimators"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 4 DT\n",
    "def DT_gs(X_train, y_train):\n",
    "    DT_param = {\n",
    "        'criterion':['gini', 'entropy'], # 衡量标准\n",
    "        'max_depth':list(range(2, 5, 1)), # 树的深度\n",
    "        'min_samples_leaf':list(range(3, 7, 1)) # 最小叶子节点数\n",
    "    }\n",
    "\n",
    "    DT_gs = GridSearchCV(DecisionTreeClassifier(), param_grid=DT_param, n_jobs=-1, scoring='accuracy')\n",
    "    DT_gs.fit(X_train, y_train)\n",
    "\n",
    "    DT_estimators = DT_gs.best_estimator_ # 最优参数\n",
    "    \n",
    "    return DT_estimators"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 5 RFC\n",
    "def RFC_gs(X_train, y_train):\n",
    "    RFC_param = {\n",
    "        'n_estimators':[100, 150, 200], # 多少棵树\n",
    "        'criterion':['gini', 'entropy'], # 衡量标准\n",
    "        'max_depth':list(range(2,5,1)), # 树的深度\n",
    "    }\n",
    "    \n",
    "    RFC_gs = GridSearchCV(RandomForestClassifier(), param_grid=RFC_param, n_jobs=-1, scoring='accuracy')\n",
    "    RFC_gs.fit(X_train, y_train)\n",
    "    \n",
    "    RFC_estimators = RFC_gs.best_estimator_\n",
    "    \n",
    "    return RFC_estimators"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 6 Bag\n",
    "def BAG_gs(X_train, y_train):\n",
    "    BAG_param = {\n",
    "        'n_estimators':[10, 15, 20]\n",
    "    }\n",
    "    \n",
    "    BAG_gs = GridSearchCV(BaggingClassifier(), param_grid=BAG_param, n_jobs=-1, scoring='accuracy')\n",
    "    BAG_gs.fit(X_train, y_train)\n",
    "    \n",
    "    BAG_estimators = BAG_gs.best_estimator_\n",
    "    \n",
    "    return BAG_estimators"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 7 SGD\n",
    "def SGD_gs(X_train, y_train):\n",
    "    SGD_param = {\n",
    "        'penalty':['l2','l1'],\n",
    "        'max_iter':[1000, 1500, 2000]\n",
    "    }\n",
    "    \n",
    "    SGD_gs = GridSearchCV(SGDClassifier(), param_grid=SGD_param, n_jobs=-1, scoring='accuracy')\n",
    "    SGD_gs.fit(X_train, y_train)\n",
    "    \n",
    "    SGD_estimators = SGD_gs.best_estimator_\n",
    "    \n",
    "    return SGD_estimators"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 8 xgb\n",
    "def XGB_gs(X_train, y_train):\n",
    "    XGB_param = {\n",
    "        'max_depth':[3,4,5,6]\n",
    "    }\n",
    "    \n",
    "    XGB_gs = GridSearchCV(XGBClassifier(), param_grid=XGB_param, n_jobs=-1, scoring='accuracy')\n",
    "    XGB_gs.fit(X_train, y_train)\n",
    "    \n",
    "    XGB_estimators = XGB_gs.best_estimator_\n",
    "    \n",
    "    return XGB_estimators"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 方法1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 采用新的数据集：X_new_1_train, y_new_1_train\n",
    "\n",
    "# 模型交叉验证、训练，获取最优超参数\n",
    "\n",
    "LR_best_estimator = LR_gs(X_new_1_train, y_new_1_train)\n",
    "\n",
    "KNN_best_estimator = KNN_gs(X_new_1_train, y_new_1_train)\n",
    "\n",
    "# SVC_best_estimator = SVC_gs(X_new_1_train, y_new_1_train)\n",
    "\n",
    "DT_best_estimator = DT_gs(X_new_1_train, y_new_1_train)\n",
    "\n",
    "RFC_best_estimator = RFC_gs(X_new_1_train, y_new_1_train)\n",
    "\n",
    "BAG_best_estimator = BAG_gs(X_new_1_train, y_new_1_train)\n",
    "\n",
    "SGD_best_estimator = SGD_gs(X_new_1_train, y_new_1_train)\n",
    "\n",
    "XGB_best_estimator = XGB_gs(X_new_1_train, y_new_1_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 方法2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 采用新的数据集：X_new_2_train, y_new_2_train\n",
    "\n",
    "# 模型交叉验证、训练，获取最优超参数\n",
    "\n",
    "LR_best_estimator = LR_gs(X_new_2_train, y_new_2_train)\n",
    "\n",
    "KNN_best_estimator = KNN_gs(X_new_2_train, y_new_2_train)\n",
    "\n",
    "# SVC_best_estimator = SVC_gs(X_new_2_train, y_new_2_train)\n",
    "\n",
    "DT_best_estimator = DT_gs(X_new_2_train, y_new_2_train)\n",
    "\n",
    "RFC_best_estimator = RFC_gs(X_new_2_train, y_new_2_train)\n",
    "\n",
    "BAG_best_estimator = BAG_gs(X_new_2_train, y_new_2_train)\n",
    "\n",
    "SGD_best_estimator = SGD_gs(X_new_2_train, y_new_2_train)\n",
    "\n",
    "XGB_best_estimator = XGB_gs(X_new_2_train, y_new_2_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 预测新的数据集：X_new_test, y_new_test\n",
    "from sklearn.metrics import precision_recall_fscore_support\n",
    "from sklearn.metrics import accuracy_score\n",
    "\n",
    "result_df = pd.DataFrame(columns=['Accuracy', 'F1-score', 'Recall', 'Precision', 'AUC_ROC'],\n",
    "                         index=['LR','KNN','DT','RFC','Bagging','SGD','XGB'])\n",
    "\n",
    "def caculate(models, X_test, y_test):\n",
    "    # 计算各种参数的值\n",
    "    accuracy_results = []\n",
    "    F1_score_results = []\n",
    "    Recall_results = []\n",
    "    Precision_results = []\n",
    "    AUC_ROC_results = []\n",
    "    \n",
    "    for model in models:\n",
    "        y_pred = model.predict(X_test)\n",
    "        accuracy = accuracy_score(y_test, y_pred) # 计算准确度\n",
    "        precision, recall, f1_score, _ = precision_recall_fscore_support(y_test, y_pred) # 计算：精确度，召回率，f1_score\n",
    "        AUC_ROC = roc_auc_score(y_test, y_pred) # 计算ROC, AUC\n",
    "        \n",
    "        # 保存计算值\n",
    "        accuracy_results.append(accuracy)\n",
    "        F1_score_results.append(f1_score)\n",
    "        Recall_results.append(recall)\n",
    "        AUC_ROC_results.append(AUC_ROC)\n",
    "        Precision_results.append(precision)\n",
    "        \n",
    "    return accuracy_results, F1_score_results, Recall_results, AUC_ROC_results, Precision_results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### X_new_1_test, y_new_1_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 将所有最优超参数的模型放在一起\n",
    "best_models = [LR_best_estimator, KNN_best_estimator, DT_best_estimator, RFC_best_estimator,\n",
    "               BAG_best_estimator, SGD_best_estimator, XGB_best_estimator]\n",
    "\n",
    "# 调用函数计算各项指标值\n",
    "accuracy_results, F1_score_results, Recall_results, AUC_ROC_results, Precision_results = caculate(best_models, X_new_1_test, y_new_1_test)\n",
    "\n",
    "# 将各项值放入到DataFrame中\n",
    "result_df['Accuracy'] = accuracy_results\n",
    "result_df['F1-score'] = F1_score_results\n",
    "result_df['Recall'] = Recall_results\n",
    "result_df['Precision'] = Precision_results\n",
    "result_df['AUC_ROC'] = AUC_ROC_results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Accuracy</th>\n",
       "      <th>F1-score</th>\n",
       "      <th>Recall</th>\n",
       "      <th>Precision</th>\n",
       "      <th>AUC_ROC</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>LR</th>\n",
       "      <td>0.940545</td>\n",
       "      <td>[0.9432446951383293, 0.9375757038612662]</td>\n",
       "      <td>[0.9879172351708325, 0.893154154647154]</td>\n",
       "      <td>[0.9024374574376501, 0.9866471840947599]</td>\n",
       "      <td>0.940536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KNN</th>\n",
       "      <td>0.998685</td>\n",
       "      <td>[0.9986831449596845, 0.9986859764881141]</td>\n",
       "      <td>[0.9974118408282109, 0.9999577851262929]</td>\n",
       "      <td>[0.9999576940433214, 0.9974173988715156]</td>\n",
       "      <td>0.998685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DT</th>\n",
       "      <td>0.938013</td>\n",
       "      <td>[0.9406455437008299, 0.9351352942908461]</td>\n",
       "      <td>[0.9821782735290394, 0.8938295926264688]</td>\n",
       "      <td>[0.9024828424086544, 0.9804436075138531]</td>\n",
       "      <td>0.938004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RFC</th>\n",
       "      <td>0.929227</td>\n",
       "      <td>[0.9338270598062365, 0.9239387639387638]</td>\n",
       "      <td>[0.9985511935070963, 0.8598747625413354]</td>\n",
       "      <td>[0.8769827543608242, 0.9983172684201927]</td>\n",
       "      <td>0.929213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bagging</th>\n",
       "      <td>0.995505</td>\n",
       "      <td>[0.9955189026571013, 0.995491013780986]</td>\n",
       "      <td>[0.9984105326825425, 0.9925983254766763]</td>\n",
       "      <td>[0.9926439739322575, 0.9984006114476589]</td>\n",
       "      <td>0.995504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SGD</th>\n",
       "      <td>0.941333</td>\n",
       "      <td>[0.9437186200939374, 0.9387359327711339]</td>\n",
       "      <td>[0.9835286174447555, 0.8991205234644339]</td>\n",
       "      <td>[0.907006005889144, 0.9820031659673875]</td>\n",
       "      <td>0.941325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>XGB</th>\n",
       "      <td>0.999233</td>\n",
       "      <td>[0.9992330371027097, 0.9992334578085332]</td>\n",
       "      <td>[0.998762184743927, 0.9997044958840499]</td>\n",
       "      <td>[0.9997043336243066, 0.9987628634088737]</td>\n",
       "      <td>0.999233</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Accuracy                                  F1-score  \\\n",
       "LR       0.940545  [0.9432446951383293, 0.9375757038612662]   \n",
       "KNN      0.998685  [0.9986831449596845, 0.9986859764881141]   \n",
       "DT       0.938013  [0.9406455437008299, 0.9351352942908461]   \n",
       "RFC      0.929227  [0.9338270598062365, 0.9239387639387638]   \n",
       "Bagging  0.995505   [0.9955189026571013, 0.995491013780986]   \n",
       "SGD      0.941333  [0.9437186200939374, 0.9387359327711339]   \n",
       "XGB      0.999233  [0.9992330371027097, 0.9992334578085332]   \n",
       "\n",
       "                                           Recall  \\\n",
       "LR        [0.9879172351708325, 0.893154154647154]   \n",
       "KNN      [0.9974118408282109, 0.9999577851262929]   \n",
       "DT       [0.9821782735290394, 0.8938295926264688]   \n",
       "RFC      [0.9985511935070963, 0.8598747625413354]   \n",
       "Bagging  [0.9984105326825425, 0.9925983254766763]   \n",
       "SGD      [0.9835286174447555, 0.8991205234644339]   \n",
       "XGB       [0.998762184743927, 0.9997044958840499]   \n",
       "\n",
       "                                        Precision   AUC_ROC  \n",
       "LR       [0.9024374574376501, 0.9866471840947599]  0.940536  \n",
       "KNN      [0.9999576940433214, 0.9974173988715156]  0.998685  \n",
       "DT       [0.9024828424086544, 0.9804436075138531]  0.938004  \n",
       "RFC      [0.8769827543608242, 0.9983172684201927]  0.929213  \n",
       "Bagging  [0.9926439739322575, 0.9984006114476589]  0.995504  \n",
       "SGD       [0.907006005889144, 0.9820031659673875]  0.941325  \n",
       "XGB      [0.9997043336243066, 0.9987628634088737]  0.999233  "
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result_df # 显示计算结果"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 可视化 AUC的评分\n",
    "g = sns.barplot('AUC_ROC', result_df.index, data=result_df, palette='hsv', orient='h')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### X_new_2_test, y_new_2_test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "result_df_2 = pd.DataFrame(columns=['Accuracy', 'F1-score', 'Recall', 'Precision', 'AUC_ROC'],\n",
    "                         index=['LR','KNN','DT','RFC','Bagging','SGD','XGB'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 将所有最优超参数的模型放在一起\n",
    "best_models = [LR_best_estimator, KNN_best_estimator, DT_best_estimator, RFC_best_estimator,\n",
    "               BAG_best_estimator, SGD_best_estimator, XGB_best_estimator]\n",
    "\n",
    "# 调用函数计算各项指标值\n",
    "accuracy_results, F1_score_results, Recall_results, AUC_ROC_results, Precision_results = caculate(best_models, X_new_2_test, y_new_2_test)\n",
    "\n",
    "# 将各项值放入到DataFrame中\n",
    "result_df_2['Accuracy'] = accuracy_results\n",
    "result_df_2['F1-score'] = F1_score_results\n",
    "result_df_2['Recall'] = Recall_results\n",
    "result_df_2['Precision'] = Precision_results\n",
    "result_df_2['AUC_ROC'] = AUC_ROC_results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Accuracy</th>\n",
       "      <th>F1-score</th>\n",
       "      <th>Recall</th>\n",
       "      <th>Precision</th>\n",
       "      <th>AUC_ROC</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>LR</th>\n",
       "      <td>0.958685</td>\n",
       "      <td>[0.9696781965238341, 0.9351872287206651]</td>\n",
       "      <td>[0.9906469760900141, 0.8947072072072072]</td>\n",
       "      <td>[0.9495786990225817, 0.9795037756202805]</td>\n",
       "      <td>0.942677</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>KNN</th>\n",
       "      <td>0.998546</td>\n",
       "      <td>[0.9989087965081489, 0.9978228808202824]</td>\n",
       "      <td>[0.9978199718706048, 1.0]</td>\n",
       "      <td>[1.0, 0.9956552207428171]</td>\n",
       "      <td>0.998910</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>DT</th>\n",
       "      <td>0.954746</td>\n",
       "      <td>[0.9666839288796824, 0.9294745304392311]</td>\n",
       "      <td>[0.9845288326300985, 0.8951295045045045]</td>\n",
       "      <td>[0.9494743981010512, 0.9665602675178598]</td>\n",
       "      <td>0.939829</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>RFC</th>\n",
       "      <td>0.953198</td>\n",
       "      <td>[0.9660544217687075, 0.9246678743961353]</td>\n",
       "      <td>[0.9986638537271448, 0.8621903153153153]</td>\n",
       "      <td>[0.9355072463768116, 0.9969075520833334]</td>\n",
       "      <td>0.930427</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bagging</th>\n",
       "      <td>0.996905</td>\n",
       "      <td>[0.9976807927472064, 0.9953488372093023]</td>\n",
       "      <td>[0.9983122362869198, 0.9940878378378378]</td>\n",
       "      <td>[0.9970501474926253, 0.9966130397967824]</td>\n",
       "      <td>0.996200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SGD</th>\n",
       "      <td>0.956856</td>\n",
       "      <td>[0.9682144831398563, 0.9328663164039698]</td>\n",
       "      <td>[0.9853727144866385, 0.8997747747747747]</td>\n",
       "      <td>[0.9516435751154577, 0.9684848484848485]</td>\n",
       "      <td>0.942574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>XGB</th>\n",
       "      <td>0.999156</td>\n",
       "      <td>[0.9993667323388685, 0.9987345331833523]</td>\n",
       "      <td>[0.9988045007032349, 0.9998592342342343]</td>\n",
       "      <td>[0.9999295972965362, 0.9976123595505618]</td>\n",
       "      <td>0.999332</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         Accuracy                                  F1-score  \\\n",
       "LR       0.958685  [0.9696781965238341, 0.9351872287206651]   \n",
       "KNN      0.998546  [0.9989087965081489, 0.9978228808202824]   \n",
       "DT       0.954746  [0.9666839288796824, 0.9294745304392311]   \n",
       "RFC      0.953198  [0.9660544217687075, 0.9246678743961353]   \n",
       "Bagging  0.996905  [0.9976807927472064, 0.9953488372093023]   \n",
       "SGD      0.956856  [0.9682144831398563, 0.9328663164039698]   \n",
       "XGB      0.999156  [0.9993667323388685, 0.9987345331833523]   \n",
       "\n",
       "                                           Recall  \\\n",
       "LR       [0.9906469760900141, 0.8947072072072072]   \n",
       "KNN                     [0.9978199718706048, 1.0]   \n",
       "DT       [0.9845288326300985, 0.8951295045045045]   \n",
       "RFC      [0.9986638537271448, 0.8621903153153153]   \n",
       "Bagging  [0.9983122362869198, 0.9940878378378378]   \n",
       "SGD      [0.9853727144866385, 0.8997747747747747]   \n",
       "XGB      [0.9988045007032349, 0.9998592342342343]   \n",
       "\n",
       "                                        Precision   AUC_ROC  \n",
       "LR       [0.9495786990225817, 0.9795037756202805]  0.942677  \n",
       "KNN                     [1.0, 0.9956552207428171]  0.998910  \n",
       "DT       [0.9494743981010512, 0.9665602675178598]  0.939829  \n",
       "RFC      [0.9355072463768116, 0.9969075520833334]  0.930427  \n",
       "Bagging  [0.9970501474926253, 0.9966130397967824]  0.996200  \n",
       "SGD      [0.9516435751154577, 0.9684848484848485]  0.942574  \n",
       "XGB      [0.9999295972965362, 0.9976123595505618]  0.999332  "
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result_df_2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 可视化 AUC的评分\n",
    "g = sns.barplot('AUC_ROC', result_df_2.index, data=result_df_2, palette='hsv', orient='h')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 集成学习\n",
    "\n",
    "# 根据以上AUC的结果,选择: LR 和 SVC 和 XGB 当做基模型\n",
    "\n",
    "KNN_test = pd.Series(KNN_best_estimator.predict(X_new_1_test), name = 'KNN')\n",
    "\n",
    "Bagging_test = pd.Series(BAG_best_estimator.predict(X_new_1_test),name = 'Bagging')\n",
    "\n",
    "XGB_test = pd.Series(XGB_best_estimator.predict(X_new_1_test), name='XGB')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 把以上3个模型的预测结果集成起来\n",
    "ensemble_results = pd.concat([KNN_test, Bagging_test, XGB_test], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>KNN</th>\n",
       "      <th>Bagging</th>\n",
       "      <th>XGB</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142153</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142154</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142155</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142156</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142157</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>142158 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        KNN  Bagging  XGB\n",
       "0         1        1    1\n",
       "1         0        0    0\n",
       "2         0        0    0\n",
       "3         1        1    1\n",
       "4         0        0    0\n",
       "...     ...      ...  ...\n",
       "142153    1        1    1\n",
       "142154    1        1    1\n",
       "142155    0        0    0\n",
       "142156    0        0    0\n",
       "142157    1        1    1\n",
       "\n",
       "[142158 rows x 3 columns]"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ensemble_results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 将上述3个模型集成起来，当做一个模型\n",
    "from sklearn.ensemble import VotingClassifier\n",
    "\n",
    "voting_clf = VotingClassifier(estimators=[('KNN', KNN_best_estimator), ('BAG', BAG_best_estimator), \n",
    "                                          ('XGB', XGB_best_estimator)], n_jobs=-1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "VotingClassifier(estimators=[('KNN', KNeighborsClassifier(n_neighbors=2)),\n",
       "                             ('BAG', BaggingClassifier(n_estimators=20)),\n",
       "                             ('XGB',\n",
       "                              XGBClassifier(base_score=0.5, booster='gbtree',\n",
       "                                            colsample_bylevel=1,\n",
       "                                            colsample_bynode=1,\n",
       "                                            colsample_bytree=1, gamma=0,\n",
       "                                            gpu_id=-1, importance_type='gain',\n",
       "                                            interaction_constraints='',\n",
       "                                            learning_rate=0.300000012,\n",
       "                                            max_delta_step=0, max_depth=6,\n",
       "                                            min_child_weight=1, missing=nan,\n",
       "                                            monotone_constraints='()',\n",
       "                                            n_estimators=100, n_jobs=0,\n",
       "                                            num_parallel_tree=1, random_state=0,\n",
       "                                            reg_alpha=0, reg_lambda=1,\n",
       "                                            scale_pos_weight=1, subsample=1,\n",
       "                                            tree_method='exact',\n",
       "                                            validate_parameters=1,\n",
       "                                            verbosity=None))],\n",
       "                 n_jobs=-1)"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 训练\n",
    "voting_clf.fit(X_new_1_train, y_new_1_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 预测\n",
    "y_final_pred = voting_clf.predict(X_new_1_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "           0       1.00      1.00      1.00     71093\n",
      "           1       1.00      1.00      1.00     71065\n",
      "\n",
      "    accuracy                           1.00    142158\n",
      "   macro avg       1.00      1.00      1.00    142158\n",
      "weighted avg       1.00      1.00      1.00    142158\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# 评估结果 ： 最终集成学习预测的结果明显高于之前各个模型单独预测的结果\n",
    "\n",
    "print(classification_report(y_new_1_test, y_final_pred))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 绘制学习曲线"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 用整个新的数据集进行交叉验证训练，并绘制学习曲线"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import ShuffleSplit\n",
    "from sklearn.model_selection import learning_curve\n",
    "\n",
    "def plot_learning_curve(models, names, X, y, ylim=None, cv=None, n_jobs=-1):\n",
    "    f, ax = plt.subplots(8, 1, figsize=(20, 50))\n",
    "    if ylim is not None:\n",
    "        plt.ylim(*ylim)\n",
    "    for i in range(len(models)):\n",
    "        train_sizes, train_scores, test_scores = learning_curve(models[i], X, y, cv=cv, n_jobs=n_jobs)\n",
    "\n",
    "        train_scores_mean = np.mean(train_scores, axis=1)\n",
    "\n",
    "        test_scores_mean = np.mean(test_scores, axis=1)\n",
    "\n",
    "        ax[i].plot(train_sizes, train_scores_mean, 'o-', color=\"#ff9124\", label='Training score')\n",
    "        ax[i].plot(train_sizes, test_scores_mean, '+-', color='#2492ff', label='cross-validation score')\n",
    "\n",
    "        ax[i].set_title(names[i], fontsize=14)\n",
    "        ax[i].set_xlabel('Training size(m)')\n",
    "        ax[i].set_ylabel('Score')\n",
    "        ax[i].grid(True)\n",
    "        ax[i].legend(loc='best')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "cv = ShuffleSplit(n_splits=5, random_state=666, test_size=0.2) # 切分的比例"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x3600 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制各个模型的学习曲线 【X_new_1】\n",
    "best_models = [LR_best_estimator, KNN_best_estimator, DT_best_estimator, RFC_best_estimator,\n",
    "               BAG_best_estimator, SGD_best_estimator, XGB_best_estimator]\n",
    "\n",
    "names = ['LR', 'KNN', 'DT', 'RFC', 'BAGGING', 'SGD', 'XGB']\n",
    "\n",
    "plot_learning_curve(best_models, names, X_new_1, y_new_1, cv=cv)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x3600 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 绘制各个模型的学习曲线 【X_new_2】\n",
    "best_models = [LR_best_estimator, KNN_best_estimator, DT_best_estimator, RFC_best_estimator,\n",
    "               BAG_best_estimator, SGD_best_estimator, XGB_best_estimator]\n",
    "\n",
    "names = ['LR', 'KNN', 'DT', 'RFC', 'BAGGING', 'SGD', 'XGB']\n",
    "\n",
    "plot_learning_curve(best_models, names, X_new_2, y_new_2, cv=cv)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 绘制ROC曲线"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import cross_val_predict\n",
    "\n",
    "LR_pred = cross_val_predict(LR_best_estimator, X_new_1, y_new_1, cv=5)\n",
    "KNN_pred = cross_val_predict(KNN_best_estimator, X_new_1, y_new_1, cv=5)\n",
    "DT_pred = cross_val_predict(DT_best_estimator, X_new_1, y_new_1, cv=5)\n",
    "RFC_pred = cross_val_predict(RFC_best_estimator, X_new_1, y_new_1, cv=5)\n",
    "BAG_pred = cross_val_predict(BAG_best_estimator, X_new_1, y_new_1, cv=5)\n",
    "SGD_pred = cross_val_predict(SGD_best_estimator, X_new_1, y_new_1, cv=5)\n",
    "XGB_pred = cross_val_predict(XGB_best_estimator, X_new_1, y_new_1, cv=5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "LR roc_auc_score : 0.9381249670260098\n",
      "KNN roc_auc_score : 0.9978879060197317\n",
      "DT roc_auc_score : 0.8998171042681533\n",
      "RFC_score : 0.9322037177074722\n",
      "BAG_score : 0.7873977806306387\n",
      "SGD_score : 0.9450451084184796\n",
      "XGB_score : 0.921349559467492\n"
     ]
    }
   ],
   "source": [
    "# 计算auc的评分\n",
    "print('LR roc_auc_score :', roc_auc_score( y_new_1, LR_pred))\n",
    "print('KNN roc_auc_score :', roc_auc_score( y_new_1, KNN_pred))\n",
    "print('DT roc_auc_score :', roc_auc_score( y_new_1, DT_pred))\n",
    "print('RFC_score :', roc_auc_score(y_new_1, RFC_pred))\n",
    "print('BAG_score :', roc_auc_score( y_new_1, BAG_pred))\n",
    "print('SGD_score :', roc_auc_score( y_new_1, SGD_pred))\n",
    "print('XGB_score :', roc_auc_score( y_new_1, XGB_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 计算每个模型的 fpr, tpr\n",
    "from sklearn.metrics import roc_curve\n",
    "\n",
    "LR_fpr, LR_tpr, LR_threshold = roc_curve( y_new_1, LR_pred)\n",
    "\n",
    "KNN_fpr, KNN_tpr, KNN_threshold = roc_curve(y_new_1, KNN_pred)\n",
    "\n",
    "DT_fpr, DT_tpr, DT_threshold = roc_curve(y_new_1, DT_pred)\n",
    "\n",
    "RFC_fpr, RFC_tpr, RFC_threshold = roc_curve(y_new_1, RFC_pred)\n",
    "\n",
    "BAG_fpr, BAG_tpr, BAG_threshold = roc_curve(y_new_1, BAG_pred)\n",
    "\n",
    "SGD_fpr, SGD_tpr, SGD_threshold = roc_curve(y_new_1, SGD_pred)\n",
    "\n",
    "XGB_fpr, XGB_tpr, XGB_threshold = roc_curve(y_new_1, XGB_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 绘制roc曲线\n",
    "def graph_roc(fpr, tpr, name, score):\n",
    "    plt.figure(figsize=(16,8)) # 画布大小\n",
    "    plt.title(\"ROC Curve\", fontsize=14)\n",
    "    plt.plot(fpr, tpr, label=name+\":\"+ str(score))\n",
    "    plt.axis([-0.01, 1, 0, 1]) # 坐标轴\n",
    "    plt.xlabel(\"False Positive Rate (FPR)\", fontsize=14)\n",
    "    plt.ylabel(\"True Positive Rate (TPR)\", fontsize=14)\n",
    "    plt.legend()\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 1 LR AUC\n",
    "graph_roc(LR_fpr, LR_tpr, 'LR', roc_auc_score(y_new_1, LR_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 2 KNN AUC\n",
    "graph_roc(KNN_fpr, KNN_tpr, 'KNN', roc_auc_score(y_new_1, KNN_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 3 DT AUC\n",
    "graph_roc(DT_fpr, DT_tpr, 'DT', roc_auc_score(y_new_1, DT_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 4 RFC AUC\n",
    "graph_roc(RFC_fpr, RFC_tpr, 'RFC', roc_auc_score(y_new_1, RFC_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 5 BAG AUC\n",
    "graph_roc(BAG_fpr,BAG_tpr, 'BAG', roc_auc_score(y_new_1, BAG_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 6 SGD AUC\n",
    "graph_roc(SGD_fpr, SGD_tpr, 'SGD', roc_auc_score(y_new_1, SGD_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 7 XGB AUC\n",
    "graph_roc(XGB_fpr, XGB_tpr, 'XGB', roc_auc_score(y_new_1, XGB_pred))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
